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[SPARK-40645][CONNECT] Throw exception for Collect() and recommend to use toPandas() #38089

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amaliujia wants to merge 4 commits into from
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[SPARK-40645][CONNECT] Throw exception for Collect() and recommend to use toPandas() #38089

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[SPARK-40645] Throw exception for Collect() and recommend to use toPa…
Oct 4, 2022
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Oct 4, 2022
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Oct 5, 2022
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HyukjinKwon Oct 5, 2022
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2 changes: 1 addition & 1 deletion python/pyspark/sql/connect/client.py
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Expand Up @@ -141,7 +141,7 @@ def _build_metrics(self, metrics: "pb2.Response.Metrics") -> typing.List[PlanMet
def sql(self, sql_string: str) -> "DataFrame":
return DataFrame.withPlan(SQL(sql_string), self)

def collect(self, plan: pb2.Plan) -> pandas.DataFrame:
def _toPandas(self, plan: pb2.Plan) -> pandas.DataFrame:

@HyukjinKwon HyukjinKwon Oct 5, 2022

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Actually we should use snake naming rule for private methods. Only API follows the camel naming conversion

@amaliujia amaliujia Oct 5, 2022

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oh I see done!

I am still learning how to write python code for spark....

req = pb2.Request()
req.user_context.user_id = self._user_id
req.plan.CopyFrom(plan)
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10 changes: 6 additions & 4 deletions python/pyspark/sql/connect/data_frame.py
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Expand Up @@ -27,6 +27,8 @@
TYPE_CHECKING,
)

import pandas

import pyspark.sql.connect.plan as plan
from pyspark.sql.connect.column import (
ColumnOrString,
Expand Down Expand Up @@ -225,11 +227,11 @@ def _print_plan(self) -> str:
return ""

def collect(self):
query = self._plan.collect(self._session)
return self._session.collect(query)
raise NotImplementedError("Please use toPandas().")

def toPandas(self):
return self.collect()
def toPandas(self) -> pandas.DataFrame:
query = self._plan.collect(self._session)
return self._session._toPandas(query)

def explain(self) -> str:
query = self._plan.collect(self._session)
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4 changes: 2 additions & 2 deletions python/pyspark/sql/tests/connect/test_spark_connect.py
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Expand Up @@ -57,7 +57,7 @@ class SparkConnectTests(SparkConnectSQLTestCase):
def test_simple_read(self) -> None:
"""Tests that we can access the Spark Connect GRPC service locally."""
df = self.connect.read.table(self.tbl_name)
data = df.limit(10).collect()
data = df.limit(10).toPandas()
# Check that the limit is applied
assert len(data.index) == 10

Expand All @@ -67,7 +67,7 @@ def conv_udf(x) -> str:

u = udf(conv_udf)
df = self.connect.read.table(self.tbl_name)
result = df.select(u(df.id)).collect()
result = df.select(u(df.id)).toPandas()
assert result is not None

def test_simple_explain_string(self) -> None:
Expand Down